Power evaluation of disease clustering tests

Song, Changhong; Kulldorff, Martin

doi:10.1186/1476-072X-2-9

International Journal of Health Geographics

Table 2 Power of the test statistics for the hot spot clusters.

From: Power evaluation of disease clustering tests

		Besag-Newell's R			Cuzick-Edwards' k-NN			Spatial Scan Statistic	Tango's MEET	Swartz' Entropy Test	Moran's		Whittemore's Test
		k = 6	12	30	100K	500K	1000K				I	I _mod
Rural (edge)	1	0.707	0.388	0.089	0.752	0.168	0.038	0.998	0.196	0.939	0.000	0.315	0.010
	2	0.792	0.466	0.074	0.810	0.199	0.049	0.991	0.221	0.804	0.743	0.793	0.006
	4	0.839	0.754	0.239	0.874	0.425	0.109	0.973	0.229	0.607	0.449	0.505	0.004
	8	0.830	0.854	0.309	0.851	0.540	0.157	0.971	0.213	0.639	0.752	0.814	0.002
	16	0.821	0.880	0.505	0.758	0.621	0.247	0.969	0.229	0.706	0.715	0.806	0.004
Mixed (corner)	1	0.037	0.023	0.983	0.648	0.919	0.899	0.936	0.925	0.270	0.053	0.045	0.000
	2	0.129	0.024	0.989	0.655	0.886	0.913	0.939	0.896	0.289	0.059	0.051	0.000
	4	0.157	0.095	0.980	0.645	0.822	0.931	0.937	0.838	0.269	0.078	0.061	0.000
	8	0.217	0.222	0.956	0.608	0.777	0.903	0.941	0.817	0.291	0.130	0.099	0.000
	16	0.293	0.284	0.914	0.598	0.715	0.838	0.949	0.832	0.354	0.193	0.165	0.000
Urban (central)	1	0.037	0.027	0.952	0.627	0.856	0.893	0.922	0.941	0.264	0.049	0.045	0.296
	2	0.033	0.214	0.819	0.587	0.786	0.937	0.903	0.920	0.245	0.056	0.049	0.334
	4	0.026	0.049	0.190	0.378	0.684	0.864	0.892	0.961	0.119	0.052	0.043	0.579
	8	0.022	0.022	0.459	0.292	0.637	0.817	0.913	0.983	0.078	0.061	0.043	0.758
	16	0.015	0.059	0.368	0.257	0.648	0.795	0.926	0.986	0.047	0.069	0.045	0.887
Rural and Mixed	1	0.624	0.270	0.981	0.956	0.943	0.860	1.000	0.964	0.975	0.000	0.310	0.000
	2	0.803	0.356	0.987	0.969	0.926	0.891	0.999	0.952	0.923	0.727	0.780	0.000
	4	0.841	0.739	0.983	0.977	0.930	0.929	0.997	0.930	0.813	0.460	0.508	0.000
	8	0.867	0.906	0.972	0.973	0.939	0.916	0.996	0.931	0.849	0.767	0.823	0.000
	16	0.857	0.938	0.970	0.949	0.939	0.891	0.996	0.941	0.914	0.729	0.810	0.000
Mixed and Urban	1	0.020	0.012	0.999	0.929	0.997	0.998	0.987	0.998	0.545	0.049	0.041	0.009
	2	0.084	0.132	0.995	0.918	0.990	0.998	0.984	0.995	0.499	0.057	0.045	0.012
	4	0.082	0.069	0.946	0.807	0.962	0.996	0.966	0.991	0.303	0.080	0.048	0.034
	8	0.107	0.114	0.915	0.710	0.935	0.987	0.954	0.990	0.222	0.136	0.073	0.070
	16	0.120	0.167	0.803	0.616	0.897	0.969	0.935	0.984	0.199	0.212	0.135	0.138
Rural and Urban	1	0.619	0.272	0.954	0.949	0.902	0.868	1.000	0.970	0.974	0.000	0.309	0.096
	2	0.709	0.665	0.823	0.955	0.854	0.919	0.999	0.962	0.909	0.712	0.771	0.097
	4	0.731	0.644	0.261	0.947	0.863	0.855	0.992	0.971	0.671	0.436	0.472	0.206
	8	0.676	0.689	0.546	0.911	0.879	0.826	0.991	0.977	0.602	0.726	0.770	0.365
	16	0.591	0.725	0.521	0.803	0.892	0.834	0.987	0.975	0.561	0.659	0.726	0.562
Rural, Mixed and Urban	1	0.541	0.185	0.998	0.992	0.998	0.994	1.000	0.999	0.991	0.000	0.291	0.002
	2	0.735	0.565	0.993	0.994	0.994	0.997	1.000	0.998	0.960	0.697	0.755	0.001
	4	0.735	0.611	0.949	0.987	0.984	0.995	0.996	0.994	0.799	0.433	0.456	0.003
	8	0.728	0.759	0.922	0.972	0.980	0.984	0.992	0.989	0.759	0.730	0.769	0.007
	16	0.642	0.766	0.840	0.909	0.962	0.962	0.977	0.983	0.744	0.672	0.737	0.023

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ISSN: 1476-072X

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